Approximate Arithmetic Circuit Architectures for FPGA-based Systems - Softcover

Ullah, Salim; Kumar, Akash

 
9783031212963: Approximate Arithmetic Circuit Architectures for FPGA-based Systems
Softcover
ISBN 10: 3031212967 ISBN 13: 9783031212963
Verlag: Springer, 2024

Inhaltsangabe

This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.

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Über die Autorin bzw. den Autor

Salim Ullah received the Ph.D. degree with Summa Cum Laude in Computer Science, from Technische Universität Dresden (TUD), Dresden, Germany, in 2021. Currently, he is a postdoctoral research associate at the Chair of Processor Design, TUD, Germany. His current research interests include the design of approximate arithmetic units, approximate caches, reconfigurable computing, and hardware accelerators of AI and machine learning algorithms.

           

Akash Kumar received the joint Ph.D. degree in electrical engineering and embedded systems from the Eindhoven University of Technology, Eindhoven, The Netherlands, and the National University of Singapore (NUS), Singapore, in 2009. From 2009 to 2015, he was with NUS. He is currently a Professor at Technische Universität Dresden, Dresden, Germany, where he is directing the Chair of Processor Design. His current research interests include the design, analysis, and resource management of low-power and fault-tolerant-embedded multiprocessor systems.

Von der hinteren Coverseite

This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.

  • Provides architectures of approximate arithmetic circuits optimized for FPGA-based systems;
  • Describes a methodology for implementing application-specific approximate circuits;
  • Introduces technique for concurrent utilization of approximation knobs.

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Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031212967
ISBN 13 
9783031212963
Einband
Tapa blanda
Anzahl der Seiten
196
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
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Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783031212932: Approximate Arithmetic Circuit Architectures for FPGA-based Systems

Vorgestellte Ausgabe

ISBN 10:  3031212932 ISBN 13:  9783031212932
Verlag: Springer, 2023
Hardcover